Write in a clean editor, then format for IEEE Sensors Letters in one click — DocuGuru applies the official IEEE template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
IEEE Sensors Letters is a peer-reviewed journal published by IEEE, covering Diverse Scientific and Economic Studies, Educational Robotics and Engineering, Advanced Sensor and Energy Harvesting Materials. Over its lifetime it has published 3,131 papers, which have received 21,727 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Sensors Letters, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Sensors Letters style. No sign-up. |
| Publishes research in | Diverse Scientific and Economic Studies Educational Robotics and Engineering Advanced Sensor and Energy Harvesting Materials Sensor Technology and Measurement Systems Analytical Chemistry and Sensors |
| ISSN | 2475-1472 |
| Citation impact (2-yr) | 1.99 |
| h-index | 51 |
| i10-index | 689 |
| Top institutions publishing here | Indian Institute of Technology Indore |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This letter introduces a deep learning (DL) framework for the classification of multiple signals in direction finding (DF) scenario via sensor arrays. Previous works in DL context mostly consider a single or two target scenario, which is a strong limitation in practice. Hence, in this letter, we propose a DL framework called DeepMUSIC for multiple…
Recently, cybersecurity threats have increased dramatically, and the techniques used by the attackers continue to evolve and become ingenious during the attack. Moreover, the complexity and frequent occurrence of imbalanced class distributions in most datasets indicate the need for extra research efforts. The objective of this article is to utilize various techniques for handling imbalanced…
Target detection is one of the most important radar applications widely used in practice. Target detection can be regarded as a kind of classification, which distinguishes whether the signal undertested consists of an echo from a target (target present) or just corresponds to the noise (target absent). The deep neural network (DNN) is a popular…
A real-time behavior detection system using millimeter wave radar is presented in this article. Radar is used to sense the micro-Doppler information of targets. A convolution neural network (CNN) is further implemented in the detection and classification of the human motion behaviors using this information. Both the convolution layers and architecture of CNNs are presented.…
By growing the demand for location based services in indoor environments in recent years, fingerprint based indoor localization has attracted much research interest. The fingerprint localization method works based on received signal strength (RSS) in wireless sensor networks. This method uses RSS measurements from available transmitter sensors, which are collected by a smart phone with…
IEEE Systems, Man, and Cybernetics Letters
IEEE Transactions on Applied Superconductivity
IEEE Transactions on Biomedical Engineering
IEEE Transactions on Cloud Computing
IEEE Transactions on Computational Social Systems
IEEE Transactions on Dependable and Secure Computing
Digital Government: Research and Practice
Journal on Computing and Cultural Heritage
